customer-research
customer-research is a Market & industry research skill for AI agents, published by rainday in the smart-blog-skills repository on GitHub. Skillspace rates customer-research D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Customer research for content strategy. Analyze existing research assets or gather insights from online communities to understand what your audience actually thinks and says. Use when user says "customer research", "ICP research", "analyze transcripts", "customer interviews", "voice of customer", "VOC", "build personas", "JTBD", "jobs to be done", "Reddit mining", "G2 reviews", "review mining", "digital watering holes", or "what do customers say".
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 35
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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